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    英文论文中的常见错误 Common Errors in Student Research Papers

       作者:古龙   2009-07-04
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    "We measured resting membrane potentials using KCl-filled micropipets with a microprobe system from [supplier and/or reference].

           Superficiality

           The purpose of a discussion is to interpret the results, not to simply state them in a different way. In most cases a superficial discussion ignores mechanisms or fails to explain them completely. It should be clear to the reader why a specific result came to pass. The statement, "The result agreed with the known theoretical value," tells us nothing about the mechanism(s) behind the result. What is the basis for expecting a particular result? Explanations may not be easy and your explanation may not be correct, but you will get most or all of the available credit for posing a reasonable explanation, even if it is not quite right. Superficial statements, on the other hand, will cost you.

           Anthropomorphism

           Sometimes you cannot easily find the right wording in order to explain a cause and effect relationship, or you may not understand the concept well enough in order to write an explanation. Anthropomorphism is a type of oversimplification that helps the writer avoid a real explanation of a mechanism. A couple of examples should make the point for you.

           Sodium wants to move down the chemical gradient toward the compartment with the lower concentration.

           The thought behind the statement is correct, but the statement does not represent the correct mechanism. Sodium has no free will. It tends to move toward the compartment with lower concentration because the probability of a sodium ion moving through a channel on the more concentrated side of the membrane exceeds the probability that an ion will move through a channel on the less concentrated side. If you don't want to explain the principle behind osmosis, you can simply state that osmotic pressure tends to drive sodium from the more highly to less highly concentrated side of a membrane.

           The ETS works furiously in a vain attempt to restore the chemiosmotic gradient

           Wow. Well, the adverb "furiously" is not only subjective, but it normally applies to a deliberate action. We know that the ETS (electron transport system) is a set of carrier complexes embedded in a membrane, and that it cannot be capable of a deliberate action. Something that cannot act deliberately cannot think, either. There is a physical cause and effect relationship between the ETS and the chemiosmotic gradient that does not require attributing a free will to any part of the system.

           Common mistakes in reporting results

           Converted data are data that have been analyzed, usually summarized, and presented in such a way that only the information pertinent to the objectives of the study is presented. Raw data refers to results of individual replicate trials, individual observations, chart records, and other information that comes directly from the laboratory.

           Once you have presented converted data, do not present the same data in a different way. For example, if the data are plotted, then don't include a table of data as well. Present a figure (such as a graph) if appropriate. If the data are better represented by a table, then use a table. The caption with any figure or table should include all pertinent information. One should not have to go into the body of the paper to find out the results of statistical tests on the data, or the rationale behind a curve fit.

           Raw data are not usually included in your results. Raw data include lists of observations, meaurements taken in order to obtain a final result (e.g., absorbance, relative mobility, tick marks on a microscope reticule).

           Use an appropriate number of decimal places (if you need decimal places at all) to report means and other measured or calculated values. The number of decimal places and/or significant figures must reflect the degree of precision of the original measurement. See our analytical resources for information on uncertain quantities and significant figures. Since the number of significant figures used reflects the level of precision of the measurement or calculation, there is never any need to qualify a measurement or calculation as 'about' or 'approximate.'

           Graphs and other pictures that represent data are called figures, and are numbered consecutively. Tables are distinguished from figures, and are numbe

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